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This chart shows 3 comparisons - Time-used, Memory-used and Code-used ~ speed and size.
Each chart bar shows, for one unidentified benchmark, how much the fastest Lisp SBCL program used compared to the fastest Java 7 -server program.
Look at speed another way - look at a box plot of Time-used data.
This table shows 3 comparisons - Time-used, Memory-used and Code-used ~ speed and size.
Each table row shows, for one named benchmark, how much the fastest Lisp SBCL program used compared to the fastest Java 7 -server program.
| Lisp SBCL used what fraction? used how many times more? | ||||
|---|---|---|---|---|
| Benchmark | Time | Memory | Code | |
| pidigits | 1/2 | 1/4 | ± | |
| fannkuch-redux | ± | ± | ± | |
| spectral-norm | ± | 1/3 | ± | |
| binary-trees | ± | 1/2 | ± | |
| n-body | ± | 2× | ± | |
| k-nucleotide | 2× | 1/3 | ± | |
| regex-dna | 2× | 2× | 2× | |
| reverse-complement | 2× | 1/3 | ± | |
| mandelbrot | 2× | 1/2 | 3× | |
| fasta | 3× | 2× | ± | |
| fasta-redux | 5× | ± | ± | |
| Lisp SBCL used what fraction? used how many times more? | |||||||
|---|---|---|---|---|---|---|---|
| Time-used | |- | |--- | 25% | median | 75% | ---| | -| |
| (Elapsed secs) | 1/2 | 1/2 | ± | 2× | 2× | 4× | 5× |
± read the measurements and then read the program source code.
This table shows 5 measurements - CPU Time, Elapsed Time, Memory, Code and ≈ CPU Load ~ speed and size.
For each named benchmark, measurements of the fastest Lisp SBCL program are shown for comparison against measurements of the fastest Java 7 -server program.
| Program Source Code | CPU secs | Elapsed secs | Memory KB | Code B | ≈ CPU Load |
|---|---|---|---|---|---|
| pidigits | |||||
| Lisp SBCL | 2.78 | 2.78 | 4,764 | 1073 | 0% 1% 0% 100% |
| Java 7 -server | 5.44 | 5.44 | 16,944 | 938 | 0% 0% 0% 100% |
| fannkuch-redux | |||||
| Lisp SBCL | 58.68 | 58.69 | 14,940 | 1518 | 0% 0% 0% 100% |
| Java 7 -server | 71.27 | 71.29 | 13,856 | 1282 | 0% 0% 0% 100% |
| spectral-norm | |||||
| Lisp SBCL | 15.73 | 15.74 | 4,548 | 906 | 0% 0% 0% 100% |
| Java 7 -server | 16.21 | 16.21 | 14,860 | 950 | 0% 0% 0% 100% |
| binary-trees | |||||
| Lisp SBCL | 20.97 | 21.00 | 226,392 | 649 | 0% 0% 0% 100% |
| Java 7 -server | 15.64 | 15.68 | 506,672 | 603 | 0% 0% 0% 100% |
| n-body | |||||
| Lisp SBCL | 35.95 | 35.97 | 30,440 | 1398 | 0% 0% 0% 100% |
| Java 7 -server | 24.32 | 24.33 | 13,744 | 1424 | 0% 0% 0% 100% |
| k-nucleotide | |||||
| Lisp SBCL | 69.86 | 69.93 | 105,260 | 2272 | 0% 0% 0% 100% |
| Java 7 -server | 33.81 | 33.93 | 336,388 | 2431 | 0% 0% 0% 100% |
| regex-dna | |||||
| Lisp SBCL | 45.50 | 45.57 | 925,296 | 1948 | 0% 0% 0% 100% |
| Java 7 -server | 21.58 | 21.61 | 557,612 | 1284 | 0% 0% 0% 100% |
| reverse-complement | |||||
| Lisp SBCL | 4.12 | 4.13 | 175,696 | 896 | 0% 1% 0% 100% |
| Java 7 -server | 1.87 | 1.90 | 511,340 | 745 | 1% 1% 0% 100% |
| mandelbrot | |||||
| Lisp SBCL | 66.73 | 66.75 | 35,184 | 2459 | 0% 0% 0% 100% |
| Java 7 -server | 26.86 | 26.87 | 67,760 | 796 | 0% 0% 0% 100% |
| fasta | |||||
| Lisp SBCL | 12.94 | 12.95 | 30,264 | 1579 | 0% 0% 1% 100% |
| Java 7 -server | 4.92 | 4.92 | 14,828 | 1507 | 1% 0% 0% 100% |
| fasta-redux | |||||
| Lisp SBCL | 9.15 | 9.15 | 9,672 | 2005 | 0% 0% 0% 100% |
| Java 7 -server | 1.89 | 1.89 | 14,376 | 1443 | 1% 1% 0% 100% |
Remember - those are just the fastest Lisp SBCL and Java 7 -server programs measured on this OS/machine. Check if there are other implementations of these benchmark programs for Lisp SBCL.
Maybe one of those other Lisp SBCL programs is fastest on a different OS/machine.
Remember - those are just the fastest Lisp SBCL and Java 7 -server programs measured on this OS/machine. Check if there are faster implementations of these benchmark programs for other programming languages.
Maybe one of those other programs is fastest on a different OS/machine.
online book Practical Common Lisp
This is SBCL 1.0.54, an implementation of ANSI Common Lisp.
Home Page: http://sbcl.sourceforge.net/
Download: http://sbcl.sourceforge.net/